Turn cross-border operations into a decision system you can inspect.
We define what must be learned before deciding what to produce, giving every post, creator, and paid test an explicit evidence job.
We define what must be learned before deciding what to produce, giving every post, creator, and paid test an explicit evidence job.
01 / Diagnose
Clarify category, audience, price, competition, accounts and qualifications, usable proof, production capacity, budget, and sales handoff. The output is not a thick report; it is a short set of assumptions that must be tested.
- Market and search-question map
- Platform, account, and risk checklist
- A clear first-phase decision
02 / Design the pilot
Turn 30 to 90 days into explicit learning goals. Xiaohongshu (RedNote) can build search proof; Douyin can test attention and story; creators add lived evidence; media only amplifies a hypothesis that can be stated clearly.
- Platform roles and content pillars
- KOL and KOC evidence jobs
- Metrics, cadence, and stop conditions
03 / Operate and hand off
Publishing is not the end. Someone must watch indexing, comments, messages, creator quality, paid efficiency, and inquiry quality. Serious intent needs a human commercial response path.
- Content and search monitoring
- Comment, message, and lead classification
- Sales response and CRM or WeChat handoff
04 / Review
A review exists to make decisions: what to scale, rewrite, stop, or test next. It should leave a decision list, not a decorative dashboard.
- Retain useful proof
- Change only the necessary variable
- Turn market learning into a brand asset
Define the question first. Then the first budget has somewhere intelligent to go.
No fixed package comes before the real question.